使用lambda函数调用sagemaker端点 [英] call sagemaker endpoint using lambda function

问题描述

我在S3中有一些数据，我想创建一个lambda函数来预测已部署的aws sagemaker端点的输出，然后将输出再次放入S3中​​.在这种情况下是否有必要创建一个

I have some data in S3 and I want to create a lambda function to predict the output with my deployed aws sagemaker endpoint then I put the outputs in S3 again. Is it necessary in this case to create an api gateway like decribed in this link ? and in the lambda function what I have to put. I expect to put (where to find the data, how to invoke the endpoint, where to put the data)

谢谢

推荐答案

您绝对不必在API Gateway中创建API.您可以使用invoke_endpoint()API直接调用端点，并传递端点名称，内容类型和有效负载.

you definitely don't have to create an API in API Gateway. You can invoke the endpoint directly using the invoke_endpoint() API, passing the endpoint name, the content type, and the payload.

例如:

import boto3

endpoint_name = <INSERT_ENDPOINT_NAME>
runtime = boto3.Session().client(service_name='sagemaker-runtime',region_name='us-east-1')

response = runtime.invoke_endpoint(EndpointName=endpoint_name, ContentType='application/x-image', Body=payload)
print(response['Body'].read())

更多使用Lambda函数的示例: https://medium.com/@julsimon/using-chalice-to-serve-sagemaker-predictions-a2015c02b033

More examples here using a Lambda function: https://medium.com/@julsimon/using-chalice-to-serve-sagemaker-predictions-a2015c02b033

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